Image Compression and Encryption Using DCT and Gaussian Map

1st International Conference on Advanced Engineering and Technology

工业技术（总论）

Rahmawati, W.M.^1 ; Liantoni, F.^1

Department of Informatics Institut Teknologi Adhi Tama Surabaya, Indonesia^1

关键词: Daily lives;    DCT algorithms;    Encryption algorithms;    Gaussian map;    Histogram analysis;    Image encryptions;    Spatial domains;    Transmission time;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/462/1/012035/pdf
DOI  :  10.1088/1757-899X/462/1/012035

学科分类：工业工程学

来源: IOP

【 摘 要 】

The use of the image in daily life keeps increasing as information technology is constantly developing. Consequently, the demand for a form of security in sending images through the internet is unavoidable. The encryption algorithm is one of the solutions. Encryption will make any image become only readable by those authorized to access. A chaos-based encryption algorithm is the most commonly used image encryption method because of its sensitivity to the parameter value. In addition to security, image transmission speed is also on demand. Images with bigger size than texts require longer transmission time. For this issue, image compression is the answer. There are many kinds of algorithm that can be used for image size compression. One of which is DCT. DCT algorithm is known to transform spatial domain to frequency. Image encryption and compression are two different processes. Nevertheless, this study combined both processes into one scheme so that they become inseparable. This study has two findings. First, in the area of compression, the scheme produced cipher image with considerable compression ratio. Second, in the area of encryption, the produced cipher image's histogram became completely different from the original histogram, indicating that the encryption algorithm used was immune to histogram analysis.